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Coworker.ai launches OM2, an organizational memory layer promising to slash enterprise AI token burn by 9x

TL;DR

Coworker.ai is launching OM2, a unified organizational memory layer that ingests data from 50+ enterprise platforms and distills it into precomputed, permission-aware facts. Instead of rebuilding context from scratch for every AI query, OM2 reuses structured intelligence across sessions, claiming a 9x reduction in token spend and 64% faster response times. Combined with optimized model routing, total cost savings can reach 51x.

Every time a typical enterprise AI agent spins up to answer an internal question, it wakes up with severe amnesia.

To make the AI useful, companies are forced into a costly, repetitive cycle: scraping thousands of documents, Slack threads, and CRM entries, and force-feeding them into the prompt window for context.

It is a brute-force approach to data retrieval that is estimated to consume over 50% of enterprise AI token budgets.

To solve this, CoworkerAI is today launching OM2, a unified organizational memory layer designed...

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iPhone Duo Memes: The Duolingo Owl Is Hooting Mad That Apple Stole His Name

I’m Begging You to Talk to People Instead of Using Apple’s Audio Intelligence

A Year After Charlie Kirk's Death, Turning Point Plans to Spend Big on the Midterms

The US government is betting $300 million that quantum computing's real problem is manufacturing, not software